Energy & Green Tech

Smart grids: Enhancing resilience

Robustness of urban infrastructures in situations of crisis mainly depends on stable power supply. This is a particular challenge when planning future smart grids that have to cope with volatile conditions anyway. Smart grids ...

Computer Sciences

'Cloud computing' takes on new meaning for scientists

Clouds may be wispy puffs of water vapor drifting through the sky, but they're heavy lifting computationally for scientists wanting to factor them into climate simulations. Researchers from the University of California, Irvine, ...

Engineering

Automating materials design

For decades, materials scientists have taken inspiration from the natural world. They'll identify a biological material that has some desirable trait—such as the toughness of bones or conch shells—and reverse-engineer ...

Hi Tech & Innovation

Microsoft launches preview of its Quantum Development Kit

(Tech Xplore)—Microsoft has officially released a free preview of its Quantum Development Kit (QDK)—a collection of tools that will allow users to create, compile and run programs written in the Q# (pronounced Q sharp, ...

Engineering

A new dimension in analyzing metal structures

A new software program reduces the time needed to identify weak points in large structures like cranes, bridges and mining equipment from several days to several minutes. The program, which was developed by Akselos, a company ...

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Simulation

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

This text uses material from Wikipedia, licensed under CC BY-SA